Multivariate Uncertainty in Deep Learning

31 October 2019

Papers citing "Multivariate Uncertainty in Deep Learning"

29 / 29 papers shown

Title
MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry Yuheng Qiu Yutian Chen Zihao Zhang Wenshan Wang Sebastian A. Scherer 60 1 0 13 Mar 2025
An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization Changhong Lin Jiarong Lin Zhiqiang Sui XiaoZhi Qu Rui Wang Kehua Sheng Bo Zhang 41 0 0 07 Mar 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Aziz Shameem Mathieu Salzmann Alexandre Alahi 44 1 0 14 Feb 2025
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions Juan Del Aguila Ferrandis João Moura S. Vijayakumar 83 4 0 17 Dec 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 53 4 0 12 Aug 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 46 0 0 30 May 2024
On Designing Consistent Covariance Recovery from a Deep Learning Visual Odometry Engine J. Nir Dennis Giaya Hanumant Singh 42 1 0 19 Mar 2024
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Mathieu Salzmann Alexandre Alahi 32 3 0 29 Oct 2023
AirIMU: Learning Uncertainty Propagation for Inertial Odometry Yuheng Qiu Chen Wang Can Xu Yutian Chen Xunfei Zhou Youjie Xia Sebastian A. Scherer 31 8 0 07 Oct 2023
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing Russell Buchanan Adrian Rofer João Moura Abhinav Valada S. Vijayakumar 33 7 0 28 Sep 2023
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities Maryam Shaygan Collin Meese Wanxin Li Xiaoliang (George) Zhao Mark M. Nejad 43 109 0 31 May 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty Anshul Nayak A. Eskandarian Zachary R. Doerzaph P. Ghorai 37 4 0 26 May 2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection Xuzhi Zhang Zhiwei Li Zhenhong Zou Xinchen Gao Yijin Xiong Dafeng Jin Jun Li Huaping Liu 35 5 0 23 Apr 2023
Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model David J. Yoon T. Barfoot 27 1 0 11 Mar 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 38 1 0 12 Feb 2023
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression Felix Ott N. Raichur David Rügamer Tobias Feigl Heiko Neumann Bernd Bischl Christopher Mutschler 38 1 0 01 Aug 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning Zhen Guo Zelin Wan Qisheng Zhang Xujiang Zhao F. Chen Jin-Hee Cho Qi Zhang Lance M. Kaplan Dong-Ho Jeong A. Jøsang UQCV EDL 30 10 0 12 Jun 2022
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness Daniel Neamati Yashwanth Kumar Nakka Soon-Jo Chung 17 1 0 18 Dec 2021
CTIN: Robust Contextual Transformer Network for Inertial Navigation Bingbing Rao Ehsan Kazemi Yifan Ding D. Shila F. M. Tucker Liqiang Wang 3DPC 45 33 0 03 Dec 2021
Swift sky localization of gravitational waves using deep learning seeded importance sampling A. Kolmus G. Baltus J. Janquart Twan van Laarhoven S. Caudill Tom Heskes BDL 19 8 0 01 Nov 2021
Learning Inertial Odometry for Dynamic Legged Robot State Estimation Russell Buchanan Marco Camurri F. Dellaert Maurice F. Fallon 11 33 0 01 Nov 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 20 47 0 26 Oct 2021
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization Arthur Moreau Nathan Piasco D. Tsishkou B. Stanciulescu A. de La Fortelle 44 38 0 19 Mar 2021
IDOL: Inertial Deep Orientation-Estimation and Localization S. Sun Dennis Melamed Kris Kitani 25 90 0 08 Feb 2021
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization Shubh Gupta Grace Gao 27 5 0 16 Jan 2021
TLIO: Tight Learned Inertial Odometry Wenxin Liu David Caruso Eddy Ilg Jing Dong Anastasios I. Mourikis Kostas Daniilidis Vijay Kumar Jakob Engel 31 168 0 06 Jul 2020
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation Jeremy N. Wong David J. Yoon Angela P. Schoellig T. Barfoot 22 20 0 21 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015